ReviewFrontiers in public health2025
Harnessing artificial intelligence for enhanced public health surveillance: a narrative review.
Review in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Expert opinion on improving influenza vaccination coverage rate in Qatar: Strategic solutions and role of live attenuated influenza vaccine (LAIV).Human vaccines & immunotherapeutics · 2026Review
- AI-Driven Dentistry and Public Health Surveillance: Opportunities and Challenges.Public health challenges · 2026Review
- When evidence meets artificial intelligence.Lancet regional health. Americas · 2026Review
- Parsing Instagram Posts for Smoking Imagery Amongst Users: A Content Analysis.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026Review
- Hidden failure modes of large language models in healthcare-associated infection surveillance: a structured evaluation using NHSN definitions.Infection control and hospital epidemiology · 2026Article
- Carcinogenic Medications: A Review of Specific Agents and Molecular Mechanisms of Carcinogenesis.Cancer reports (Hoboken, N.J.) · 2026Review
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- Artificial intelligence is transforming disease surveillance, but governance is failing to keep pace.Frontiers in digital health · 2026Article
- Beyond explainability: toward trustworthy governance of generative AI in digital public health surveillance.Frontiers in public health · 2026Article
- Designing interdisciplinary education in digital public health: a position paper.Frontiers in public health · 2026Article
- Scoping review of public health emergency management training programmes and curricula in Africa (2000-2025): implications for policy, practice and research.BMJ public health · 2026Article
- Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning.Reviews in medical virology · 2026Review
- An equity-aware generative AI copilot for digital public health surveillance.Frontiers in public health · 2026Article
- Advancing epidemic intelligence: evaluating Senegal's mpox surveillance system and readiness for AI-driven predictive modelling.Frontiers in public health · 2026Article
- Artificial intelligence-enabled early warning systems for public health preparedness: perspectives of senior public health leaders in a Small Island Developing State.Frontiers in public health · 2026Article
- Application of dimensionality reduction and clustering techniques for the analysis of Carrion's disease cases in the period 2000-2024.Frontiers in artificial intelligence · 2026Article
- Can artificial intelligence improve health performance? The mediating role of health innovation and the moderating role of digital infrastructure.Frontiers in public health · 2026Article
- Telemedicine and the European Health Data Space: a new paradigm for healthcare in the EU.Frontiers in digital health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has a transformative potential to revolutionize public health by addressing critical challenges in disease prevention, outbreak detection, and countermeasures distribution. Traditional public health surveillance methods often face limitations, such as delays in reporting, under-detection of cases, and the overwhelming complexity of managing large datasets. In contrast, AI technologies enable real-time analysis, enhance scalability, and support more effective decision-making, especially during health crises. This review examines the profound impact of AI on key areas of public health, with a particular focus on communicable diseases. It explores how AI-driven technologies are transforming disease monitoring and surveillance, outbreak prevention, and disease modeling, improving the ability to detect and respond to emerging health threats. Furthermore, the role of internet and social media in managing disease outbreaks through AI-powered systems is also highlighted, showcasing how AI can harness information from diverse data sources to enhance public health interventions. The review also delves into the regulatory landscape, emphasizing the importance of robust standards and frameworks, such as those established by the EU, for ensuring the safe, ethical, and responsible implementation of AI in public health. By shedding light on AI's potential to improve real-time decision-making and support health crisis management, this paper underscores its transformative role in shaping the future of public health surveillance and response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.